Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-wide events Oversees enrollment and marketing efforts of third-party partners for graduate and online programs (e.g., MLS and Online LLM). Online LL.M./LL.M. and MLS Communications & Marketing (30
-
: $18.40 per hour. Additional Eligibility Qualifications: Class (PT1L/2L/3L/4L/LLM): 2L, 3L, 4L. How to apply: Submit your application, email a copy of your resume to @[email protected]. Other
-
high-level information extraction systems by conducting full fine tuning, fine tuning, LoRA tuning w.r.t. material knowledge against LLMs. Research results should be disseminated to international
-
captured in a structured, machine readable dataset to support AI model development and give feedback on material realizability. Where to apply Website https://www.academictransfer.com/en/jobs/364461/phd
-
or sponsors. U.S. Citizenship with the ability to obtain and maintain a security clearance Desired: Exposure to Retrieval‑Augmented Generation (RAG), vector databases, embedding pipelines, or LLM‑enabled
-
Generation (RAG), vector databases, embedding pipelines, or LLM‑enabled systems. Familiarity with network science or graph analytics concepts, including: Graph modeling and analysis using tools such as
-
others. Excellent and ambitious JD, LLM, and SJD students with strong entering credentials. A three-course teaching load, small average class sizes, generous support for research conference travel, and an
-
technologies through core facilities and tech watch Direct connection to a growing team of LLM engineers at VIB Part of a dynamic research center with other groups sharing this mission A competitive salary and
-
. Experience of current Artificial Intelligence and Machine Learning methodologies/tools e.g. agentic patterns, LLM orchestration, vision models etc. Desirable Criteria: MEng, MSc or Ph.D. in a relevant area
-
National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 3 months ago
science data, including scientific papers, experimental data/images, and crystal structures. Specifically, the candidate will be responsible for the continuous pre-training and fine-tuning of LLMs using our